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Augmented Sketch: Faster and More Accurate Stream Processing
Summary: ASketch augments sketch-based freq estimation with a dynamic pre-filter that aggregates top items, boosting heavy-hitter accuracy and reducing misclassification. Overflow items go to a conventional sketch; SIMD-enabled parallelism boosts throughput.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 5139
- Venue
- SIGMOD
- Year
- 2016
- Pagerank
- 0.00011255801
- Overall Rank
- 1,584 | 88.99%
- DOI
-
10.1145/2882903.2882948
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 25 of 25 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,941 |
Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing |
2018 |
SIGMOD |
0.00010017745 |
| 3,319 |
Sketching Linear Classifiers over Data Streams |
2018 |
SIGMOD |
7.226439e-05 |
| 3,751 |
BurstSketch: Finding Bursts in Data Streams |
2021 |
SIGMOD |
6.7888099e-05 |
| 4,395 |
Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models |
2017 |
VLDB |
6.2244283e-05 |
| 4,905 |
Randomized Error Removal for Online Spread Estimation in Data Streaming |
2021 |
VLDB |
5.8398332e-05 |
| 5,150 |
Efficient Join Synopsis Maintenance for Data Warehouse |
2020 |
SIGMOD |
5.6626586e-05 |
| 5,369 |
Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams |
2017 |
VLDB |
5.5434712e-05 |
| 6,085 |
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix |
2021 |
SIGMOD |
5.2195267e-05 |
| 6,593 |
Out of Many We are One: Measuring Item Batch with Clock-Sketch |
2021 |
SIGMOD |
4.9999287e-05 |
| 6,599 |
Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory |
2024 |
SIGMOD |
4.9973567e-05 |
| 6,790 |
On-Off Sketch: A Fast and Accurate Sketch on Persistence |
2021 |
VLDB |
4.9251439e-05 |
| 7,732 |
Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items |
2023 |
SIGMOD |
4.6657123e-05 |
| 7,870 |
LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead |
2023 |
SIGMOD |
4.6308128e-05 |
| 8,250 |
Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation |
2022 |
VLDB |
4.5506131e-05 |
| 8,697 |
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries |
2024 |
SIGMOD |
4.4657888e-05 |
| 9,041 |
TreeSensing: Linearly Compressing Sketches with Flexibility |
2023 |
SIGMOD |
4.4039656e-05 |
| 9,082 |
JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation |
2023 |
SIGMOD |
4.3998984e-05 |
| 9,227 |
Panakos: Chasing the Tails for Multidimensional Data Streams |
2023 |
VLDB |
4.3692732e-05 |
| 9,402 |
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models |
2024 |
SIGMOD |
4.3441378e-05 |
| 10,034 |
SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,149 |
CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,659 |
Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing |
2025 |
VLDB |
4.1945683e-05 |
| 10,981 |
Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality |
2024 |
SIGMOD |
4.1945683e-05 |
| 10,983 |
A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions |
2024 |
SIGMOD |
4.1945683e-05 |
| 11,055 |
Enhancing Accuracy for Super Spreader Identification in High-Speed Data Streams |
2024 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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